At a Glance
- Tasks: Own and develop data modelling infrastructure and pipelines for impactful data initiatives.
- Company: Join Zoopla, a leading UK property website with a collaborative culture.
- Benefits: Enjoy 25 days leave, remote work options, and wellness perks like gym access.
- Other info: Hybrid working model with a vibrant office space near Tower Bridge.
- Why this job: Make a real impact with AI-driven projects in a dynamic environment.
- Qualifications: Experience with dbt architecture, SQL, and visualisation tools is essential.
The predicted salary is between 60000 - 75000 € per year.
Who We Are
Zoopla is a leading UK property website and trusted consumer brand, empowering movers to make better property decisions with over nine million monthly users generating over one billion annual property searches. Over 5 million homeowners are subscribers, tracking their property values and providing a pipeline of movers for Zoopla's customers (estate agents and housebuilders). The business is investing in leveraging its scale and reach to build new, AI-driven experiences that engage movers and unlock value and a strong return on investment for customers.
Our guiding behaviours define how we work together and what we expect from one another. These behaviours are to keep it simple, take ownership, make it better and win together. We strive for progress not perfection and have no doubt that we can achieve our ambitions if we focus on the right things, give it our all and do it together.
What You'll Do
- As a Senior Analytics Engineer in the Data Analytics team, you’ll own and develop the data modelling infrastructure, architecture and pipelines powering a wide range of data initiatives and data products.
- Own the analytics engineering workflow and architecture for the data modelling layer at the heart of the business.
- Ensure orchestration runs successfully, troubleshooting errors in key pipelines and empowering others to do the same.
- Effectively communicate and act as a liaison between highly technical and non-technical stakeholders, to translate business needs into engineering requirements.
- Deliver, and enable others to build, well-defined, transformed, tested, documented, and code-reviewed data sets.
- Proactively seek automation and optimisation opportunities to constantly improve and develop the transformation layer, and unify its usage across multiple teams.
- Train, upskill and support others in dbt and data modelling best practices, applying software engineering practices to analytics code (version control, automated testing, continuous integration).
We’re looking for someone who:
- Has experience setting up & developing dbt architecture using CI/CD practices (essential).
- Is highly proficient with SQL and data modelling best practices for optimising performance (essential).
- Has previously worked with visualisation tools such as Tableau or PowerBI (essential).
- Is confident collaborating and communicating with non-technical stakeholders (essential).
- Has experience integrating dbt with other tools in the modern data stack (essential).
- Is comfortable harnessing AI workflows to expedite development in a scalable, sustainable way (essential).
- Has experience working with Databricks and AWS (Glue, Lambda, Step Functions) or similar cloud platform (desirable).
Where You'll Be
At Zoopla we embrace hybrid working but emphasise the importance of also spending time together. You’ll have the opportunity to work remotely (at home) for two days per week with Mondays and Thursdays as all-Zoopla days in the office together plus a third in-office day of your choosing. Our home in Tower Bridge is a wonderful hub for collaborative and individual working, with space to socialise and exercise. On our doorstep you’ll find buzzing Borough, Bankside and Bermondsey, not to mention soaring river views.
Benefits
- 25 days annual leave + extra days for years of service.
- Day off for volunteering & Digital detox day.
- Festive Closure - business closed for period between Christmas and New Year.
- Cycle to work and electric car schemes.
- Free Calm App membership.
- Enhanced parental leave.
- Fertility Treatment Financial Support.
- Group Income Protection and private medical insurance.
- Gym on-site in London.
- 7.5% pension contribution by the company.
- Discretionary annual bonus up to 10% of base salary.
Senior Analytics Engineer in London employer: Zoopla
At Zoopla, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a Senior Analytics Engineer, you'll benefit from our hybrid working model, generous annual leave, and a range of employee support initiatives, including enhanced parental leave and wellness programmes. Our vibrant office in Tower Bridge not only offers stunning views but also encourages teamwork and personal growth, making it an ideal environment for those looking to make a meaningful impact in the property sector.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Engineer in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Zoopla on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your SQL and data modelling skills. Be ready to showcase how you've used these in past projects, especially with dbt and CI/CD practices. We want to see your expertise shine!
✨Tip Number 3
Don’t forget to highlight your communication skills! As a Senior Analytics Engineer, you'll need to bridge the gap between technical and non-technical folks. Share examples of how you've done this before.
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the Zoopla team. Let’s get you that dream job!
We think you need these skills to ace Senior Analytics Engineer in London
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for data and analytics shine through! We want to see how excited you are about the role and how your skills can contribute to our mission at Zoopla.
Tailor Your CV:Make sure to customise your CV to highlight relevant experience that aligns with the Senior Analytics Engineer role. Use keywords from the job description to show us you understand what we're looking for!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on communicating your experience and skills effectively.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Zoopla
✨Know Your Data Modelling Inside Out
As a Senior Analytics Engineer, you'll need to demonstrate your expertise in data modelling. Brush up on your SQL skills and be ready to discuss your experience with dbt architecture and CI/CD practices. Prepare examples of how you've optimised performance in previous roles.
✨Communicate Like a Pro
You'll be liaising between technical and non-technical stakeholders, so practice explaining complex concepts in simple terms. Think of scenarios where you've successfully communicated technical requirements to non-technical teams and be ready to share those stories.
✨Show Off Your Automation Skills
Zoopla is looking for someone who can proactively seek automation opportunities. Be prepared to discuss specific instances where you've implemented automation or optimisation in your workflows. Highlight any tools or techniques you've used to streamline processes.
✨Get Familiar with the Tech Stack
Make sure you understand the modern data stack, including tools like Databricks and AWS. If you have experience integrating dbt with other tools, be ready to talk about it. Showing that you're comfortable with the tech they'll be using will give you an edge.
